Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 3 (2025): Volume 9, Issue 3, March 2025 | Pages: 326-331
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 19-04-2025
Currently, supermarket run-centres, Big Marts keep track of each individual item's sales data in order to anticipate potential consumer demand and update inventory management. Anomalies and general trends are often discovered by mining the data warehouse's data store. For retailers like Big Mart, the resulting data can be used to forecast future sales volume using various machine learning techniques like big mart. A predictive model was developed using Decision Tree Regression for forecasting the sales of a business such as Big -Mart, and it was discovered that the model outperforms existing models.
Inventory Management, Anomalies, Big Mart, Machine Learning, Decision Tree Regression
Alphan Shaikh, Mohd Khalid Shaikh, Ayaan Sayyed, & Prof. A.N.Gedam. (2025). Predictive Analysis for Big Mart Sales Using Machine Learning Algorithms. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(3), 326-331. Article DOI https://doi.org/10.47001/IRJIET/2025.903047
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